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Big Data News & Analysis

Gain a Competitive Edge Through Big Data: 4 Use Cases

2014-22-October-Rainy-Day-Race.jpgToday’s data-driven companies have a competitive edge over their peers. How? They are generating breakthrough insights by bringing together all of their structured and unstructured data and analyzing it together.

When you can analyze a large amount of data as a single set -- rather than separate silos -- you can uncover significant insights that would be impossible to get from traditional business intelligence. And it’s these breakthrough insights that are giving companies a serious competitive advantage.

Yet while most organizations understand the value of analyzing big data to stay ahead of the curve, they often struggle to apply these data insights to business situations that matter most. So what are the most lucrative and effective use cases for big data analytics?

Q4 Planning: Top Marketing Technology, Social Business Conferences & Events (22-Oct-14)

Our industry event planner gives you the heads-up on what key industry events are coming around the corner. If we've missed something, don't hesitate to add your event to the list. (You can also view the full calendar here.)

You're Invited: The Survivalist's Guide to Data-Driven Marketing

Join CMSWire and Marketo on October 28th for a one-hour webinar on the best practices you may be missing in your marketing campaigns.
 

> Register Now

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CMSWire Tweet Jam: Extracting Business Value From Big Data #CXMChat

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Big data may promise to carry businesses to the next level, but there's still a lot of confusion surrounding it. What's the happy medium between data driven personalization and appearing downright creepy? What tools and processes help businesses get the most out of the data they're collecting? Find out during tomorrow's Tweet Jam.

Look Before You Leap Into the Big Data Revolution

2014-21-October-Pre-Jump.jpgLike the proverbial elephant and five blind men, big data looks different depending on who's describing it: from holy grail for information in society, to dangerous step toward a world in which people are treated based on predictions of what they are likely to do instead of what they actually do. While neither of these extremes may turn out to be our future, big data is obviously more than a passing fad, and will be defined ultimately not by what it is but by what is done with it and what it does to those at whom it is directed.

Cloudera + Microsoft's Snuggle in the Cloud Causes Confusion

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Anyone that Hortonworks gets into bed with, Cloudera snuggles up to next.

This, of course, is not a proven theorem. But it sure seems to be the case lately.

Earlier this month Hadoop enterprise data hub provider Cloudera announced a deeper integration with long time Hortonworks partner Teradata. Hortonworks’ 100 percent open source Hadoop distribution (HDP) powers many of Teradata’s big data offerings, including the Teradata Appliance for Hadoop.

Yesterday, at a Microsoft press event, Mike Olson, Cloudera’s Chief Strategy Officer, shared the stage with Microsoft CEO Satya Nadella and corporate vice president Scott Guthrie to announce his company’s intention to become Microsoft Azure Certified.

SAP CEO Boasts 'We're Better than Everyone Else'

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Bill McDermott made one thing very clear in SAP's third-quarter earnings call this morning: SAP is better than everyone else.

Better than Oracle. Better than Salesforce. Better than Workday. Even better than Facebook, Ikea, Amazon, eBay and Alibaba.

The CEO's confidence is based on SAP's progress in the cloud, which he said allows businesses run their entire production engines. Competitors merely offer "point solutions," he claimed.

The Walldorf, Germany-based software giant saw cloud revenues climb 41 percent this quarter year-over-year, and its customer count in its business suite on HANA jumped from 450 to 1,450 this quarter in the same period.

Never missing an opportunity to cite a competitor's inferiority, McDermott said that's "more than Workday's total number of customers."

Faking Big Data #strataconf

Sorry folks, but this shouldn’t come as too big of a surprise. Anytime a new technology or field emerges, so does a group of posers. They’re typically software vendors, consulting firms and “experts” who claim to be able to help you cross the chasm between where you are and where you need to go to remain viable in the future.

These aren’t, for the most part, evil companies, snake oil salesman or under educated individuals. Vendors iterate products as quickly as they can and push them out too early, they take shortcuts and rationalize them and sometimes they simply don’t know that they don’t know what they’re doing.

Big data is still an emerging field.

Microsoft Ignites 'One' Enterprise Strategy

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It’s still only October, but already some companies are starting to talk about what they plan to do next year. Unfortunately, the word from most tends to be pretty vague this far in advance.

Microsoft is no exception.

However, one thing Microsoft has given some very concrete details about is its conference line-up for 2015. 

For the first time ever, Microsoft is bring all its enterprise business applications together in a new conference called Ignite.

Deliver Big Data in Bite-Sized Pieces with Mainstream Apps

2014-16-October-Squirrel-Lunch.jpgHow can we transform Big Data into the Big Idea that turns into an opportunity in the digital revolution? How can we use this data gleaned from multiple sources and turn it into smart “consumer style” data driven, mainstream apps? The answers aren’t easy.

But without these answers we'll be unable to develop the data driven-apps that analysts are flagging as the next “Big Thing” in the sales and marketing arena.

How Big Data Projects Are Different

2014-16-October-Chess-Moves.jpgHow is big data strategy different from any other technology-related strategy? There’s definite overlap with other IT strategies, including the need to be aligned with business strategy, to have strong sponsorship, to address specific business problems, and to have decision making mechanisms for resource allocation and ongoing capability development -- that is, good governance processes.

The key difference lies in what makes Big Data unique -- the implications of the classic 3 v’s of Big Data -- the volume, velocity and variety.

Microsoft's Big Data Steps Boost Customer Insights #Strataconf

Microsoft hasn’t been shy about its goals for the data-driven age. It plans to bring business intelligence to a billion screens and to remove the barriers that are preventing broad adoption of advanced analytics.

These are lofty ambitions, perhaps, but there is no company on the planet that’s in a better position to deliver on them.

Put aside, for a moment, that Excel is a default tool for data crowd, that Office 365 is a next logical step for workers, and that so many enterprises inherently trust the Azure Cloud. The company is also rolling out big data solutions that are, at once, as powerful and compelling as those that scrappy start-ups are delivering today.

On Heels of SAP-IBM, ISO Debuts International Cloud Standards

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Just a day after the SAP-IBM cloud partnership news broke, an international standard setting body issued two standards related to cloud computing.

Perhaps CEOs Ginni Rometty of IBM and Bill McDermott of SAP should take note.

ISO (the International Organization for Standardization) today released what officials there call "ground-breaking standards" that "lay down the basic terminology and architectural framework" for cloud computing.

The cloud "poses many issues, chiefly related to compatibility," ISO's Vivienne Rojas blogged today. "With more and more providers offering cloud-based services, the technology has suffered from chaotic development, making it almost impossible for companies to ascertain the quality of services offered."

Will Salesforce's New Analytics Cloud Make Waves? #DF14

2014-15-October-Bolivia-Salt-Flats.jpgData Science is hard. Ditto for Big Data. You can add analytics to that list as well.

But “difficulty” and “complexity,” as they relate to data, aren’t the bogeymen of this day and age. Partly because it’s too expensive to let them play that role when the difference between winning and losing, success and failure, on a macro scale might come down to how well you leverage your data. And partly because a new generation of startups has emerged to put a smart, user friendly face on big data analytics.

Big Data as a Disrupter - Thinking About Big Data Strategically

2014-15-October-Roller-Coaster.jpgAfter riding the roller coaster of hype, Big Data disillusionment has been setting in, driven in part by the inherent fuzziness of exactly what the term means, but also because the term by itself is really descriptive of just a bunch of bits, rather than tangible business benefits. So I’ll try to put some gloss back on big data by putting it in the context of business strategy, which, after all, is the context that matters to the senior executives who have the financial wherewithal to really make big things happen with big data.

SAP, IBM Steal Salesforce's Thunder

It wasn't if, but when. Who would try to steal the thunder from Salesforce and its Dreamforce glory?

It was SAP. And IBM. Together.

The enterprise software giants joined forces today.  SAP announced its HANA Enterprise Cloud service is now available through IBM’s cloud in a move officials from each company claim expands major markets with the addition of the IBM cloud data centers. 

Bill McDermott, CEO of SAP, said in a statement the demand for SAP HANA and SAP Business Suite on SAP HANA in the cloud is "tremendous and this global agreement with IBM heralds a new era of cloud collaboration."

IBM CEO Ginni Rometty called it a "significant milestone in the deployment of enterprise cloud” and added that IBM's "secure, open, hybrid enterprise cloud platform will enable SAP clients to support new ways to work in an era shaped by big data, mobile and social.”

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